Asia Pacific University Library catalogue


Multilevel analysis : techniques and applications / Joop J. Hox.

By: Hox, Joop JMaterial type: TextTextSeries: Quantitative methodology seriesPublication details: New York : Routledge, c2010Edition: 2nd edDescription: x, 382 p. : ill. ; 23 cmISBN: 9781848728462 (pbk.)Subject(s): Social sciences -- Statistical methods | Analysis of variance | Regression analysisLOC classification: HA29 | .H69 2010
Contents:
Introduction to multilevel analysis -- The basic two-level regression model -- Estimation and hypothesis testing in multilevel regression -- Some important methodological and statistical issues -- Analyzing longitudinal data -- The multilevel generalized linear model for dichotomous data and proportions -- The multilevel generalized linear model for categorical and count data -- Multilevel survival analysis -- Cross-classified multilevel models -- Multivariate multilevel regression models -- The multilevel approach to meta-analysis -- Sample sizes and power analysis in multilevel regression -- Advanced issues in estimation and testing -- Multilevel factor models -- Multilevel path models -- Latent curve models.
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Open Shelf 		Book HA29 .H69 2010 c.1 (Browse shelf (Opens below)) 1 Available (No use restrictions) 00038375
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Open Shelf 		Book HA29 .H69 2010 c.2 (Browse shelf (Opens below)) 2 Available (No use restrictions) 00038376
Browsing APU Library shelves, Shelving location: Open Shelf, Collection: Book Close shelf browser (Hides shelf browser)
HA29 .B78 1902 c.1 Elements of statistics / HA29 .C54 1982 c.1 Simple statistics : HA29 .H69 2010 c.1 Multilevel analysis : HA29 .H69 2010 c.2 Multilevel analysis : HA29 .L48 1998 c.3 Statistics for management / HA29 .L56 2008 c.1 Basic statistics for business & economics / HA29 .L56 2008 c.2 Basic statistics for business & economics /

Includes bibliographical references and index.

Introduction to multilevel analysis -- The basic two-level regression model -- Estimation and hypothesis testing in multilevel regression -- Some important methodological and statistical issues -- Analyzing longitudinal data -- The multilevel generalized linear model for dichotomous data and proportions -- The multilevel generalized linear model for categorical and count data -- Multilevel survival analysis -- Cross-classified multilevel models -- Multivariate multilevel regression models -- The multilevel approach to meta-analysis -- Sample sizes and power analysis in multilevel regression -- Advanced issues in estimation and testing -- Multilevel factor models -- Multilevel path models -- Latent curve models.

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